Long-Term Observation of <em>In Vitro</em>-Derived Malus Sylvestris (L.) Mill., the Path from the Bud to the Tree

The European wild apple (Malus sylvestris L.), a wild contributor to the domesticated apple, belongs to the endangered species in the Czech Republic. Thus, an efficient protocol was developed for in vitro plantlet regeneration using the post-dormant buds. The highest shoot induction was obtained on MS medium supplemented with 0.5 mg.l−1 BAP, 5 mg.l−1 GA and 0.1 mg.l−1 IBA. Shoot multiplication and elongation took place on the same medium with 0.2 mg.l−1 BAP and 0.1 mg.l−1 IBA. Indole-3-butyric acid at 0.5 mg.l−1 was most effective for rooting. The micropropagated plantlets were successfully acclimatized in greenhouse conditions and were transplanted into soil in forest. Finally, qualitative and quantitative parameters of tissue culture-derived plants were evaluated. Monitoring of in vitro plantings on experimental trials suggests that micropropagated wild apple trees retain the growth characteristics of generative individuals

Pokus o vytvoření metody ke zjišťování míry duševního zdraví z hlediska teorie potřeb

Katedra psychologieFilozofická fakult

Pokus o vytvoření metody ke zjišťování míry duševního zdraví z hlediska teorie potřeb [diplomová práce]

Katedra psychologieFilozofická fakult

The power quality forecasting model for off-grid system supported by multiobjective optimization

Measurement and control of electric power quality (PQ) parameters in off-grid systems has played an important role in recent years. The purpose is to detect or forecast the presence of PQ parameter disturbances to be able to suppress or to avoid their negative effects on the power grid and appliances. This paper focuses on several PQ parameters in off-grid systems and it defines three evaluation criteria that are supposed to estimate the performance of a new forecasting model combining all the involved PQ parameters. These criteria are based on common statistical evaluations of computational models from the machine learning field of study. The studied PQ parameters are voltage, power frequency, total harmonic distortion, and flicker severity. The approach presented in this paper also applies a machine learning based model of random decision forest for PQ forecasting. The database applied in this task contains real off-grid data from long-term one-minute measurements. The hyperparameters of the model are optimized by multiobjective optimization toward the defined evaluation criteria.Web of Science64129516950

Monitoring of forest condition in the Czech Republic in frame of ICP Forests programme and follow-up projects:Data to 2018

Forest stands and its vitality, nutrient cycling and forest condition in the Czech Republi

Výzkum porostních struktur a možnosti rehabilitace prostoru na vrchu Říp

Tradičně volné a otevřené prostranství v okolí rotundy Sv. Jiří na Řípu je spolu s průhledy a výhledy do krajiny zanesené náletovými porosty. Ty zabraňují tradičním výhledům z Řípu do krajiny a naopak z krajiny na rotundu. Lokalita byla zahrnuta do evropského systému Natura 2000. Obnovy pohledových vazeb by bylo dosaženo obnovou stepní vegetace na místech k tomu vhodných a nízkou křovinnou a bylinnou vegetací tam, kde to současné synantropní podmínky neumožují

Decision support tool for the management of dynamic genetic conservation units

The decision support tool for the management of dynamic genetic conservation units (GCUs) gives practical details to GCU managers on how to identify threats and manage GCUs with a long-term perspective. It also explains how to introduce new types of GCUs by including marginal and peripheral populations, and how to integrate additional basic information from GCUs into EUFGIS information system

Forestry management in the Krušné hory Mts.:Updated report

The study is oriented on problems of forest stands in the Krušné hory Mts. (Czechia

Comparing observer performance in vegetation records by efficiency graphs derived from rarefaction curves

Species richness is a key variable in measuring diversity of ecological communities. It is crucial to get reliable estimates for the number of plant species in space (mapping) and % even more important in the context of monitoring % over time. Therefore, knowledge on error rates related to recordings of species numbers should be considered in such inventories. The performance of observers in four field tests to capture species numbers carried out in forest ecosystems in central and southern Europe were compared. Observer-related species accumulation (rarefaction) curves and derived efficiency curves were analysed, resulting in mean error rates of 29.7% and 39.4% over series of plots sized 4m2 and 100m2 respectively. As a new approach individual rarefaction and efficiency curves reveal site-specific and spatially differentiated capabilities of observers to register plant species. Since expertise and individual searching strategies are difficult to parametrise, reasons for variation in error rates remain largely unknown. However, statistical modelling with site- and scale-specific mean error rates gave an overview on important influential factors like location, scale, spatial integration, and their interactions. Our results underline the importance to incorporate specific training and inter-comparison measures in monitoring programs and critical perception of results on temporal changes of species richness